Name: Wavelet and wavelet packet compression of electrocardiograms
Creator: M.L. Hilton
Keywords: Electrocardiography, Electrocardiography, Ambulatory, Tachycardia, Supraventricular, Tachycardia, Ventricular, 0202 electrical engineering, electronic engineering, information engineering, Humans, Pilot Projects, Signal Processing, Computer-Assisted, 02 engineering and technology, Algorithms

descriptionPublicationkeyboard_double_arrow_right Article 01 May 1997Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Biomedical Engineering, volume 44, pages 394-402 (issn: 0018-9294,

Authors: M.L. Hilton;

doi: 10.1109/10.568915

pmid: 9125824

Wavelet and wavelet packet compression of electrocardiograms

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Abstract

Wavelets and wavelet packets have recently emerged as powerful tools for signal compression. Wavelet and wavelet packet-based compression algorithms based on embedded zerotree wavelet (EZW) coding are developed for electrocardiogram (ECG) signals, and eight different wavelets are evaluated for their ability to compress Holter ECG data. Pilot data from a blind evaluation of compressed ECG's by cardiologists suggest that the clinically useful information present in original ECG signals is preserved by 8:1 compression, and in most cases 16:1 compressed ECG's are clinically useful.

Related Organizations

University of South Carolina
United States
University of South Carolina System
United States

Keywords

Electrocardiography, Electrocardiography, Ambulatory, Tachycardia, Supraventricular, Tachycardia, Ventricular, Humans, Pilot Projects, Signal Processing, Computer-Assisted, Algorithms

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